Scale Labs SEAL Adversarial Robustness (SEAL Adversarial Robustness)
We show this table for reference; we do not rank on it.
Scale’s SEAL board that counted harmful replies to 1,000 human-written adversarial prompts. Fewer violations rank higher. BenchLM shows it as display-only reference data, excluded from rankings. Scale marked this board deprecated as of January 2025 and no longer adds models.
Violations on SEAL Adversarial Robustness — November 12, 2026 snapshot
We mirror the published violations view for SEAL Adversarial Robustness. Gemini 1.5 Pro (May 2024) leads the public snapshot at 8, followed by Llama 3.1 405B Instruct (10) and Claude 3 Opus (13). We do not use these results to rank models overall.
Gemini 1.5 Pro (May 2024)
Llama 3.1 405B Instruct
Meta
Claude 3 Opus
Anthropic
8 modelsInstruction FollowingCurrentDisplay onlyUpdated November 12, 2026 snapshot
Violations table (8 models)
| Rank | Model / configuration | Score | Parameters (B) | Open / closed |
|---|---|---|---|---|
| 1 | Gemini 1.5 Pro (May 2024)Google | 8 | Not reported | Unknown |
| 2 | Llama 3.1 405B InstructMeta | 10 | Not reported | Unknown |
| 3 | Claude 3 OpusAnthropic | 13 | Not reported | Closed |
| 4 | Gemini 1.5 FlashGoogle | 14 | Not reported | Closed |
| 5 | Claude 3.5 Sonnet (June 2024)Anthropic | 16 | Not reported | Unknown |
| 6 | GPT-4 Turbo PreviewOpenAI | 20 | Not reported | Unknown |
| 7 | Mistral LargeMistral | 37 | Not reported | Unknown |
| 8 | GPT-4o (May 2024)OpenAI | 67 | Not reported | Unknown |
How to read this leaderboard
Compare the published configurations as complete evaluation systems. The source can combine a base model, agent scaffold, tools, budget, and inference setting in each result.
Operator receipt: 8 sourced rows are currently displayable on this page; the leading published row is Gemini 1.5 Pro (May 2024) at 8.
Honest limit: This Scale table is display-only context, not benchmark provenance or a weighted model-only comparison. Scale marked this board deprecated as of January 2025 and no longer adds models.
How BenchLM shows SEAL Adversarial Robustness
BenchLM mirrors 8 published rows from Scale Labs’ public SEAL Adversarial Robustness leaderboard, captured on November 12, 2026 snapshot.
The table is display only. It is useful context for a published agent or model configuration, but it does not enter BenchLM’s overall or category rankings. Scale marked this board deprecated as of January 2025 and no longer adds models.
Snapshot
The published SEAL Adversarial Robustness snapshot places Gemini 1.5 Pro (May 2024) first at 8. The third row is 5 score units higher. The broader top-10 range is 59 score units, so the table still separates the published systems.
8 models have been evaluated on SEAL Adversarial Robustness. The benchmark falls in the Instruction Following category. We keep external benchmark mirrors separate from the weighted global scoring system, so these results remain source-specific evidence. SEAL Adversarial Robustness is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
About SEAL Adversarial Robustness
Year
2026
Tasks
1,000 adversarial prompts
Format
Violations (lower is better)
Difficulty
External agent and model evaluation
Prompts cover illegal activity, hate speech, harm to children, self-harm, and other harms that are broadly recognized as problematic. The score is the number of responses that violated Scale’s harm definitions, so lower is better. BenchLM mirrors 8 published rows captured on November 12, 2026 snapshot.
Freshness and provenance
Version
SEAL Adversarial Robustness 2026
Refresh cadence
Quarterly
Staleness state
Current
Question availability
Public benchmark set
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
Questions
What does SEAL Adversarial Robustness measure?
Scale’s SEAL board that counted harmful replies to 1,000 human-written adversarial prompts. Fewer violations rank higher. BenchLM shows it as display-only reference data, excluded from rankings. Scale marked this board deprecated as of January 2025 and no longer adds models.
Which model leads the published SEAL Adversarial Robustness snapshot?
Gemini 1.5 Pro (May 2024) currently leads the published SEAL Adversarial Robustness snapshot with 8 violations. BenchLM shows this benchmark for display only and does not use it in overall rankings.
How many models are evaluated on SEAL Adversarial Robustness?
The November 12, 2026 snapshot snapshot contains 8 AI models.
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